No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by codeaashu · Claude Skill · ★ 3.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code safe to install? View the security audit →
Claude Code — Leaked Source The full source code of Anthropic's Claude Code CLI, leaked on March 31, 2026 The original unmodified leaked source is preserved in the branch. Table of Contents How It Leaked What Is Claude Code? Documentation Explore with MCP Server Directory Structure Architecture Tool System Command System Service Layer [Br
| Stars | 3,282 |
| Forks | 3,667 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 66.275645345524/100 |
| Open Issues | 16 |
| Last Updated | 2026-08-29 |
| Created | 2026-03-31 |
| Platforms | claude-code, node |
| Est. Tokens | ~18k |
Looking for a claude-code alternative? If you're comparing claude-code with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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claude-code is Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows . It is categorized as a Claude Skill with 3.3k GitHub stars.
claude-code is primarily written in TypeScript. It covers topics such as aashuu, claude, claude-ai.
You can find installation instructions and usage details in the claude-code GitHub repository at github.com/codeaashu/claude-code. The project has 3.3k stars and 3667 forks, indicating an active community.
The top alternatives to claude-code on Agent Skills Hub include claude-code, awesome-claude-skills, claude-code-guide. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: